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Teaching Social Communication Skills Through Human-Agent Interaction

机译:通过人与人之间的互动来教授社交技巧

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摘要

There are a large number of computer-based systems that aim to train and improve social skills. However, most of these do not resemble the training regimens used by human instructors. In this article, we propose a computer-based training system that follows the procedure of social skills training (SST), a well-established method to decrease human anxiety and discomfort in social interaction, and acquire social skills. We attempt to automate the process of SST by developing a dialogue system named the automated social skills trainer, which teaches social communication skills through human-agent interaction. The system includes a virtual avatar that recognizes user speech and language information and gives feedback to users. Its design is based on conventional SST performed by human participants, including defining target skills, modeling, role-play, feedback, reinforcement, and homework. We performed a series of three experiments investigating (1) the advantages of using computer-based training systems compared to human-human interaction (HHI) by subjectively evaluating nervousness, ease of talking, and ability to talk well; (2) the relationship between speech language features and human social skills; and (3) the effect of computer-based training using our proposed system. Results of our first experiment show that interaction with an avatar decreases nervousness and increases the user's subjective impression of his or her ability to talk well compared to interaction with an unfamiliar person. The experimental evaluation measuring the relationship between social skill and speech and language features shows that these features have a relationship with social skills. Finally, experiments measuring the effect of performing SST with the proposed application show that participants significantly improve their skill, as assessed by separate evaluators, by using the system for 50 minutes. A user survey also shows that the users thought our system is useful and easy to use, and that interaction with the avatar felt similar to HHI.
机译:有大量旨在训练和提高社交技能的基于计算机的系统。但是,其中大多数与人类教练所使用的训练方案不同。在本文中,我们提出了一种基于计算机的培训系统,该系统遵循社交技能培训(SST)的程序,这是一种建立良好的方法,可以减少人与人之间的社交互动中的焦虑和不适,并获得社交技能。我们试图通过开发一个名为自动社交技能培训师的对话系统来自动化SST流程,该系统通过人与人之间的互动来教授社交沟通技巧。该系统包括识别用户语音和语言信息并向用户提供反馈的虚拟化身。它的设计基于人类参与者执行的常规SST,包括定义目标技能,建模,角色扮演,反馈,强化和家庭作业。我们进行了三个实验,研究了以下几个方面:(1)通过主观评估神经质,说话容易程度和说话能力,使用基于计算机的培训系统相对于人与人互动(HHI)的优势; (2)言语特征与人际交往能力之间的关系; (3)使用我们提出的系统进行基于计算机的培训的效果。我们第一个实验的结果表明,与不熟悉的人进行交流相比,与化身进行交流会减少神经质,并增加用户对其说话能力的主观印象。评估社交技巧与语音和语言特征之间关系的实验评估表明,这些特征与社交技巧有关。最后,测量使用建议的应用程序执行SST效果的实验表明,参与者可以通过使用系统50分钟来显着提高其技能,这是由单独的评估人员评估的。用户调查还显示,用户认为我们的系统有用且易于使用,并且与化身的交互感觉类似于HHI。

著录项

  • 来源
    《ACM Transactions on Interactive Intelligent Systems》 |2016年第2期|18.1-18.26|共26页
  • 作者单位

    Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan;

    Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan;

    Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan;

    Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan;

    Center for Special Needs Education, Nara University of Education, Takabatake-cho, Nara-shi, Nara, Japan;

    Center for Special Needs Education, Nara University of Education, Takabatake-cho, Nara-shi, Nara, Japan;

    Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Social skills training (SST); behavior detection; dialogue system; embodied conversational avatar; computer-based training;

    机译:社会技能培训(SST);行为检测;对话系统体现的对话头像;基于计算机的培训;

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